Selecting teaching style based on group technology philosophy

The purpose of this paper is to classify students into clusters at class level according to their preferred learning styles by using group technology.

The Felder and Silverman index of learning styles is used to determine the preferred learning styles of the students, then similarity-coefficient analysis is used to group students into clusters based on the similarity of their preferences.

Using this approach would allow the instructor to use a teaching style suitable for the students in order to achieve the intended learning outcomes.

This is an original research with promising findings to help educators using this approach to achieve the intended learning outcomes.